Cross-Framework Mapping

NIST AI Risk Management Framework (AI RMF 1.0)vsNIST SP 800-30

See exactly how NIST AI Risk Management Framework (AI RMF 1.0) controls map to NIST SP 800-30. Pre-computed mappings, identified gaps, and coverage analysis.

15
Controls Mapped
37
Gaps Found
10%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI Risk Management Framework (AI RMF 1.0) maps to NIST SP 800-30 with 10% coverage across 5 directly mapped controls. Analysis of 52 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 47 compliance gaps — primarily concentrated in AI RMF Functions.

Source: TheArtOfService Knowledge Graph | 52 controls analysed | 718 frameworks | 332K+ cross-framework mappings

Control Mappings

Showing 15 of 15 mapped controls across 1 domains. Sign up to explore all 332K+ mappings across 718 frameworks.

AI RMF Functions(15 mappings)

AIRMF-GOV-01AI Risk Management Policies3 targets
NISTSP30-1Risk Management Strategy and Risk Assessment Programme Establishment
NISTSP30-2Three-Tier Risk Assessment Scoping (Organisation, Mission/Business, Information System)
NISTSP30-8Risk Assessment Maintenance, Continuous Monitoring, and Integration with the RMF
AIRMF-MAN-01AI Risk Treatment3 targets
NISTSP30-1Risk Management Strategy and Risk Assessment Programme Establishment
NISTSP30-2Three-Tier Risk Assessment Scoping (Organisation, Mission/Business, Information System)
NISTSP30-8Risk Assessment Maintenance, Continuous Monitoring, and Integration with the RMF
AIRMF-MAP-02AI Risk Identification3 targets
NISTSP30-3Threat Source and Threat Event Identification
NISTSP30-4Vulnerability and Predisposing Condition Identification
NISTSP30-6Risk Determination, Uncertainty, and Sensitivity Analysis
AIRMF-MAP-03AI Impact Assessment3 targets
NISTSP30-3Threat Source and Threat Event Identification
NISTSP30-4Vulnerability and Predisposing Condition Identification
NISTSP30-6Risk Determination, Uncertainty, and Sensitivity Analysis
NIST-AI600-MAP-2Stakeholder Impact Assessment3 targets
NISTSP30-3Threat Source and Threat Event Identification
NISTSP30-4Vulnerability and Predisposing Condition Identification
NISTSP30-6Risk Determination, Uncertainty, and Sensitivity Analysis

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What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and NIST SP 800-30?

NIST AI Risk Management Framework (AI RMF 1.0) has 52 controls across its framework, while NIST SP 800-30 covers 8 controls. Direct mapping analysis identifies 5 overlapping controls (10% coverage). The frameworks diverge most significantly in AI RMF Functions, where 26 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct NIST SP 800-30 equivalent.

How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and NIST SP 800-30?

Of 52 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 5 map directly to NIST SP 800-30 controls — representing 10% coverage. The remaining 47 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping NIST AI Risk Management Framework (AI RMF 1.0) to NIST SP 800-30?

47 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in NIST SP 800-30. The highest concentration of gaps is in AI RMF Functions with 26 unmapped controls. These gaps represent areas where additional controls, policies, or documentation must be created to achieve compliance with both frameworks.

Which control domains have the most gaps between NIST AI Risk Management Framework (AI RMF 1.0) and NIST SP 800-30?

The domain with the highest gap count is AI RMF Functions (26 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

This platform provides educational compliance tools, not legal, regulatory, or professional compliance advice. Cross-framework mappings are AI-assisted interpretations and do not reproduce or replace official standards. Framework names and trademarks belong to their respective owners. Consult qualified professionals for your specific compliance requirements. See our Terms of Service.